Few_Shot_Learning.md

Few-Shot/Zero-Shot Learning (for NLP Tasks)

link: https://github.com/tristandeleu/pytorch-meta
document: https://tristandeleu.github.io/pytorch-meta/
author: Tristan Deleu
note: a collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.

paper/code: Elsahar, H. , Gravier, C. , & Laforest, F. . (2018). Zero-shot question generation from knowledge graphs for unseen predicates and entity types.
paper/code: Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth (2018). Zero-Shot Open Entity Typing as Type-Compatible Grounding.
paper/code: Zhao, Y. , Gao, S. , Gallinari, P. , & Guo, J. . (2017). Zero-shot embedding for unseen entities in knowledge graph. IEICE Transactions on Information and Systems, 100.

paper: Hewlett, D. , Lacoste, A. , Jones, L. , Polosukhin, I. , Fandrianto, A. , & Han, J. , et al. (2016). Wikireading: a novel large-scale language understanding task over wikipedia.
paper/link: Levy, O. , Seo, M. , Choi, E. , & Zettlemoyer, L. . (2017). Zero-shot relation extraction via reading comprehension.
paper/code: Elsahar, H. , Gravier, C. , & Laforest, F. . (2018). Zero-shot question generation from knowledge graphs for unseen predicates and entity types.